activity
20142025
most citedLow Algorithmic Complexity Entropy-deceiving Graphs

85 citations · 178 across the 22 of their papers we have counts for

collaborators

28 papers

q-bio.MN2025

Epigenetic feedback reshapes dynamical landscapes in gene regulatory networks

Sascha H. Hauck, Sandip Saha, Narsis A. Kiani +1

Understanding how gene regulatory networks (GRNs) give rise to stable and dynamic cellular states remains a central challenge in theoretical biology, particularly when slow epigene…

cs.IT2024★ 2 cited

Assembly Theory Reduced to Shannon Entropy and Rendered Redundant by Naive Statistical Algorithms

Luan Ozelim, Abicumaran Uthamacumaran, Felipe S. Abrahão +4

Assembly Theory (AT) and its central measure, the assembly index (Ai), represent an invaluable opportunity to address some of the most persistent and widespread conflations and mis…

q-bio.BM2024

T- Hop: A framework for studying the importance path information in molecular graphs for chemical property prediction

Abdulrahman Ibraheem, Narsis Kiani, Jesper Tegner

This paper studies the usefulness of incorporating path information in predicting chemical properties from molecular graphs, in the domain of QSAR (Quantitative Structure-Activity…

cs.IT2024★ 1 cited

Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolution

Felipe S. Abrahão, Santiago Hernández-Orozco, Narsis A. Kiani +2

We prove the full equivalence between Assembly Theory (AT) and Shannon Entropy via a method based upon the principles of statistical compression renamed `assembly index' that belon…

cs.CL2023★ 32 cited

Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition

Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan +4

We introduce a new cross-modal fusion technique designed for generative error correction in automatic speech recognition (ASR). Our methodology leverages both acoustic information…

cs.CL2023★ 13 cited

A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model

Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan +3

In this work, we explore Parameter-Efficient-Learning (PEL) techniques to repurpose a General-Purpose-Speech (GSM) model for Arabic dialect identification (ADI). Specifically, we i…